Papers

Artificial intelligence and big data as applied to Psychology

  • LIU Xingyun ,
  • LIU Xiaoqian ,
  • XIANG Yuanyuan ,
  • ZHU Tingshao
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  • 1. Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China;
    2. Department of Psychology University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2019-01-16

  Revised date: 2019-04-17

  Online published: 2019-11-15

Abstract

With the development of technology, artificial intelligence and big data have brought a new research strategy to psychology research. Compared with traditional methods, the combination of artificial intelligence and big data produces three advantages of ecological data:vertical tracking, time backtracking, high internal and external validity. This kind of interpersonal interaction based on Online Social Networking has profoundly affected or even changed people's psychological and behavioral characteristics. Meanwhile, ecological behavior data can be used, combined with other artificial intelligence technology, to establish a psychological index prediction model to achieve automatic identification of people's psychological indicators. This paper discusses the application of artificial intelligence and big data in psychological research and practice by taking personality prediction model, Proactive Suicide Prevention Online, and Qingdao prawn as examples. Finally, when using big data to analyze relevant psychological indicators, we must also pay attention to protecting user privacy and rational use of big data and artificial intelligence technology.

Cite this article

LIU Xingyun , LIU Xiaoqian , XIANG Yuanyuan , ZHU Tingshao . Artificial intelligence and big data as applied to Psychology[J]. Science & Technology Review, 2019 , 37(21) : 105 -109 . DOI: 10.3981/j.issn.1000-7857.2019.21.010

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